| Autor: |
Alisson Barbosa de Souza, Paulo Antonio Leal Rego, José Neuman de Souza |
| Rok vydání: |
2022 |
| Zdroj: |
Anais Estendidos do XL Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC Estendido 2022). |
| DOI: |
10.5753/sbrc_estendido.2022.222331 |
| Popis: |
Some increasingly popular vehicular applications have critical time requirements. As vehicles still do not have enough computation power, they cannot satisfy these demands satisfactorily. One option to deal with this problem is to enable vehicles to transfer computational tasks to cooperating devices through the offloading technique. However, performing this technique in vehicular scenarios is challenging due to the fast movement of network nodes and the frequent disconnections. Thus, we propose a context-oriented framework and decision algorithms to reduce the execution time of vehicular applications reliably through computation offloading in vehicular edge computing systems. Experimental results show that our solutions can significantly improve the execution time of vehicular applications. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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